/ 
Paws-0.46
River stage two • 9 direct dependents • 11 total dependents
/ Paws::SageMaker::TransformInput

NAME

Paws::SageMaker::TransformInput

USAGE

This class represents one of two things:

Arguments in a call to a service

Use the attributes of this class as arguments to methods. You shouldn't make instances of this class. Each attribute should be used as a named argument in the calls that expect this type of object.

As an example, if Att1 is expected to be a Paws::SageMaker::TransformInput object:

$service_obj->Method(Att1 => { CompressionType => $value, ..., SplitType => $value  });

Results returned from an API call

Use accessors for each attribute. If Att1 is expected to be an Paws::SageMaker::TransformInput object:

$result = $service_obj->Method(...);
$result->Att1->CompressionType

DESCRIPTION

Describes the input source of a transform job and the way the transform job consumes it.

ATTRIBUTES

CompressionType => Str

If your transform data is compressed, specify the compression type. Amazon SageMaker automatically decompresses the data for the transform job accordingly. The default value is None.

ContentType => Str

The multipurpose internet mail extension (MIME) type of the data. Amazon SageMaker uses the MIME type with each http call to transfer data to the transform job.

REQUIRED DataSource => Paws::SageMaker::TransformDataSource

Describes the location of the channel data, which is, the S3 location of the input data that the model can consume.

SplitType => Str

The method to use to split the transform job's data files into smaller batches. Splitting is necessary when the total size of each object is too large to fit in a single request. You can also use data splitting to improve performance by processing multiple concurrent mini-batches. The default value for SplitType is None, which indicates that input data files are not split, and request payloads contain the entire contents of an input object. Set the value of this parameter to Line to split records on a newline character boundary. SplitType also supports a number of record-oriented binary data formats. Currently, the supported record formats are:

  • RecordIO

  • TFRecord

When splitting is enabled, the size of a mini-batch depends on the values of the BatchStrategy and MaxPayloadInMB parameters. When the value of BatchStrategy is MultiRecord, Amazon SageMaker sends the maximum number of records in each request, up to the MaxPayloadInMB limit. If the value of BatchStrategy is SingleRecord, Amazon SageMaker sends individual records in each request.

Some data formats represent a record as a binary payload wrapped with extra padding bytes. When splitting is applied to a binary data format, padding is removed if the value of BatchStrategy is set to SingleRecord. Padding is not removed if the value of BatchStrategy is set to MultiRecord.

For more information about RecordIO, see Create a Dataset Using RecordIO (https://mxnet.apache.org/api/faq/recordio) in the MXNet documentation. For more information about TFRecord, see Consuming TFRecord data (https://www.tensorflow.org/guide/data#consuming_tfrecord_data) in the TensorFlow documentation.

SEE ALSO

This class forms part of Paws, describing an object used in Paws::SageMaker

BUGS and CONTRIBUTIONS

The source code is located here: https://github.com/pplu/aws-sdk-perl

Please report bugs to: https://github.com/pplu/aws-sdk-perl/issues